Decomposition and carbon loss in lodgepole pine (Pinus contorta var. latifolia) wood following attack by mountain pine beetle (Dendroctonus ponderosae)
Bibliographic record
Abstract
Mountain pine beetle (MPB)-killed wood remaining on the landscape is predicted to release significant amounts of carbon to the atmosphere as it decays. A lack of field-based wood decomposition data for validating simulation models reduces certainty in such predictions. Using a chronosequence approach, I quantified decomposition of MPB-killed wood to improve decay rate parameters. Changes in carbon density over time and climatic variability showed distinct patterns for bole position categories. Snag carbon density was similar to that of live lodgepole pine, and did not change considerably with time or climatic influences. Decay in suspended boles increased with summer precipitation, but declined with increasing summer temperature, suggesting decay in elevated boles is moisture-limited on warmer sites. Down boles decayed four times faster with increasing proximity to the soil than suspended boles, but did not clearly reflect climatic influences. Position of dead boles appears more important for wood decay than previously thought. --Leaf ii.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".